skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: System and method for automated object detection in an image

Patent ·
OSTI ID:1222628

A contour/shape detection model may use relatively simple and efficient kernels to detect target edges in an object within an image or video. A co-occurrence probability may be calculated for two or more edge features in an image or video using an object definition. Edge features may be differentiated between in response to measured contextual support, and prominent edge features may be extracted based on the measured contextual support. The object may then be identified based on the extracted prominent edge features.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC52-06NA25396
Assignee:
Los Alamos National Security, LLC (Los Alamos, NM)
Patent Number(s):
9,152,888
Application Number:
14/026,730
OSTI ID:
1222628
Resource Relation:
Patent File Date: 2013 Sep 13
Country of Publication:
United States
Language:
English

References (28)

System and method for performing high-precision, multi-channel blending using multiple blending passes patent August 2000
Image editing apparatus and method patent June 2006
Feature selection method using support vector machine classifier patent June 2009
Detecting objects in images with covariance matrices patent June 2010
System and method for exploiting segment co-occurrence relationships to identify object location in images patent July 2014
Methods of fabricating nanostructures and nanowires and devices fabricated therefrom patent-application November 2002
Alternatives to a table of criterion values in signal detection theory journal May 1986
Support-vector networks journal September 1995
ART neural networks for remote sensing: vegetation classification from Landsat TM and terrain data journal March 1997
Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization journal February 2003
Classification of transient signals using sparse representations over adaptive dictionaries conference June 2011
Receptive fields and functional architecture of monkey striate cortex journal March 1968
Task-Driven Dictionary Learning journal April 2012
Sparse Representation for Color Image Restoration journal January 2008
Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position journal April 1980
A model of saliency-based visual attention for rapid scene analysis journal January 1998
Simplified neuron model as a principal component analyzer journal November 1982
Emergence of simple-cell receptive field properties by learning a sparse code for natural images journal June 1996
Trailblazing with Roadrunner journal July 2009
Spatial frequency selectivity of cells in macaque visual cortex journal January 1982
The orientation and direction selectivity of cells in macaque visual cortex journal January 1982
Hierarchical models of object recognition in cortex journal November 1999
Matching pursuits with time-frequency dictionaries journal January 1993
Quantifying the difficulty of object recognition tasks via scaling of accuracy vs. training set size journal January 2010
Visualizing classification of natural video sequences using sparse, hierarchical models of cortex. journal May 2011
Large-scale functional models of visual cortex for remote sensing conference October 2009
A feedforward architecture accounts for rapid categorization journal April 2007
Robust Object Recognition with Cortex-Like Mechanisms journal March 2007